public static class ModelMetricsBinomialGLM.ModelMetricsMultinomialGLM extends ModelMetricsMultinomial implements GLMMetrics
ModelMetricsMultinomial.MetricBuilderMultinomial<T extends ModelMetricsMultinomial.MetricBuilderMultinomial<T>>
ModelMetricsSupervised.MetricBuilderSupervised<T extends ModelMetricsSupervised.MetricBuilderSupervised<T>>
ModelMetrics.MetricBuilder<T extends ModelMetrics.MetricBuilder<T>>
Modifier and Type | Field and Description |
---|---|
double |
_AIC |
long |
_nullDegressOfFreedom |
double |
_nullDev |
double |
_resDev |
long |
_residualDegressOfFreedom |
_cm, _hit_ratios, _logloss, _mean_per_class_error
_domain, _sigma
_description, _MSE, _nobs, _scoring_time
Constructor and Description |
---|
ModelMetricsBinomialGLM.ModelMetricsMultinomialGLM(Model model,
Frame frame,
long nobs,
double mse,
java.lang.String[] domain,
double sigma,
ConfusionMatrix cm,
float[] hr,
double logloss,
double resDev,
double nullDev,
double aic,
long nDof,
long rDof) |
Modifier and Type | Method and Description |
---|---|
boolean |
equals(java.lang.Object o) |
long |
null_degrees_of_freedom() |
double |
null_deviance() |
long |
residual_degrees_of_freedom() |
double |
residual_deviance() |
java.lang.String |
toString() |
cm, getFromDKV, getHitRatioTable, hr, logloss, make, make, mean_per_class_error, updateHits, updateHits
r2
auc_obj, buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, deepCloneWithDifferentModelAndFrame, frame, getAllowedMetrics, getMetricFromModel, getMetricFromModelMetric, isForFrame, isForModel, model, mse, rmse, sortModelsByMetric, sortModelsByMetric
checksum, makeSchema, readAll_impl, readAll, remove_impl, remove, remove, remove, remove, writeAll_impl, writeAll
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSON
public final long _nullDegressOfFreedom
public final long _residualDegressOfFreedom
public final double _resDev
public final double _nullDev
public final double _AIC
public ModelMetricsBinomialGLM.ModelMetricsMultinomialGLM(Model model, Frame frame, long nobs, double mse, java.lang.String[] domain, double sigma, ConfusionMatrix cm, float[] hr, double logloss, double resDev, double nullDev, double aic, long nDof, long rDof)
public double residual_deviance()
residual_deviance
in interface GLMMetrics
public double null_deviance()
null_deviance
in interface GLMMetrics
public long residual_degrees_of_freedom()
residual_degrees_of_freedom
in interface GLMMetrics
residual_degrees_of_freedom
in class ModelMetrics
public long null_degrees_of_freedom()
null_degrees_of_freedom
in interface GLMMetrics
public java.lang.String toString()
toString
in class ModelMetricsMultinomial
public boolean equals(java.lang.Object o)
equals
in class java.lang.Object